Results 81 to 90 of about 2,731,647 (316)

Predicting and Comparing the Subjective Health Experience of Older Cancer Survivors and Non‐Cancer Survivors: A Modeling Approach

Aging and Cancer, EarlyView.
This study underscores the significant influence of frailty and vitality on the subjective health experience of older cancer survivors with acceptance and control emerging as salient mediators. These findings affirm the conceptual and empirical robustness of the model highlighting its potential utility in shaping future interventions for older cancer ...
Damien S. E. Broekharst, Sjaak Bloem, Eline J. Mertens, Nathascha Hanzen, Michel van Agthoven   +4 more
wiley   +1 more source

Apparent convergence of Padé approximants for the crossover line in finite density QCD [PDF]

, 2021
Attila Pásztor, Zs. Szép, Gergely Markó   +2 more
openalex   +1 more source

Leveraging Artificial Intelligence in Research and Scholarly Work: Innovative Approaches and Practical Applications

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT This article explores how artificial intelligence (AI) is reshaping scholarly research and writing for faculty in higher education. As AI becomes increasingly integrated into academic workflows, it offers opportunities to enhance efficiency, exchange ideas, and foster creativity, while also raising critical questions about authorship ...
Adam L. McClain, Scott Barton
wiley   +1 more source

Visual Recovery Reflects Cortical MeCP2 Sensitivity in Rett Syndrome

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Rett syndrome (RTT) is a devastating neurodevelopmental disorder with developmental regression affecting motor, sensory, and cognitive functions. Sensory disruptions contribute to the complex behavioral and cognitive difficulties and represent an important target for therapeutic interventions.
Alex Joseph Simon, Nathalie Picard, Valeria d'Andrea, Enchi Chang, Joseph Leffler, Eleonora Centofante, Matthew Taylor, Francesca Bardi, Francesca Cavicchiolo, Takao K. Hensch, Stefano Panzeri, Chinfei Chen, Michela Fagiolini   +12 more
wiley   +1 more source

Oxidation behavior of AlN/CrN multilayered hard coatings

Nano Convergence, 2017
We report on the oxidation behavior of AlN/CrN multilayers at 900 °C, deposited by radio frequency magnetron sputtering. It is shown that oxidation in this system is controlled by diffusion of Cr towards the surface and formation of Cr2O3.
Darius Tytko, Pyuck-Pa Choi, Dierk Raabe
doaj   +1 more source

Soft optical metamaterials

Nano Convergence, 2020
Optical metamaterials consist of artificially engineered structures exhibiting unprecedented optical properties beyond natural materials. Optical metamaterials offer many novel functionalities, such as super-resolution imaging, negative refraction and ...
Yixin Chen, Bin Ai, Zi Jing Wong
doaj   +1 more source

Systemic T Cell Receptor Profiling Reveals Adaptive Immune Activation and Potential Immune Signatures of Diagnosis and Brain Atrophy in Epilepsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epilepsy is increasingly associated with immune dysregulation and inflammation. The T cell receptor (TCR), a key mediator of adaptive immunity, shows repertoire alterations in various immune‐mediated diseases. The unique TCR sequence serves as a molecular barcode for T cells, and clonal expansion accompanied by reduced overall TCR ...
Yong‐Won Shin, Sang Bin Hong, Yong Woo Shin, Inpyeong Hwang, Jaeseong Oh, Jihyeon Choi, Narae Kim, Jangsup Moon, Keun‐Hwa Jung, Kyung‐Il Park, Ki‐Young Jung, Kon Chu, Sang Kun Lee   +12 more
wiley   +1 more source

Interest Convergence, Intersectionality, and Counter-Storytelling: Critical Race Theory as Practice in Scholarly Communications Librarianship

In the Library with the Lead Pipe
Despite diversity, equity, and inclusion (DEI) rhetoric in librarianship, library workers who are Black, Indigenous, and people of color (BIPOC) are still underrepresented and marginalized.
Maria Mejia, Anastasia Chiu
doaj  

Convergence of the $k$-Means Minimization Problem using $\Gamma$-Convergence

, 2015
The $k$-means method is an iterative clustering algorithm which associates each observation with one of $k$ clusters. It traditionally employs cluster centers in the same space as the observed data.
Cade, Neil, Johansen, Adam M., Theil, Florian, Thorpe, Matthew   +3 more
core  

Biomes as evolutionary arenas: Convergence and conservatism in the trans‐continental succulent biome [PDF]

, 2020
Jens J. Ringelberg, Niklaus E. Zimmermann, Andrea Weeks, Matt Lavin, Colin E. Hughes   +4 more
openalex   +1 more source